CN116405110A - Multi-core optical cable fault positioning analysis equipment - Google Patents
Multi-core optical cable fault positioning analysis equipment Download PDFInfo
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Abstract
The invention discloses multi-core optical cable fault positioning analysis equipment which comprises a route planning module, a monitoring positioning module, a light generating device, an optical cable fault detecting device and a model fault positioning module, wherein a plurality of monitoring positioning areas are subjected to central monitoring path extraction, the central monitoring paths are monitored to realize coarse locking of the areas of optical cable faults, the monitoring positioning areas where the optical cable faults are located are subjected to branching monitoring path extraction, and the branching monitoring paths are monitored to realize fine locking of the points of the optical cable faults. The invention realizes the rapid reduction of the monitoring range, positions the faults of the optical cables, has high efficiency, does not need to detect each optical cable one by one, and has less redundant detection; the optical cable fault is precisely positioned, the accuracy is high, and the omission of detection is avoided; when the accumulation amount of the fault data is enough, a fault positioning model can be constructed by deep learning of the fault data and fault points in the centrality monitoring path.
Description
Technical Field
The invention relates to the technical field of optical communication fault positioning, in particular to multi-core optical cable fault positioning analysis equipment.
Background
The optical fiber communication is widely applied due to the advantages of long distance, high speed, large capacity and the like, and because the optical fiber circuit breaks down to cause communication interruption, serious influence is caused to life, work, enterprise production and the like, therefore, how to quickly and accurately position the fault point in the optical fiber circuit and gain time for timely recovering communication is a problem to be solved; the attenuation curve comprises a plurality of position points and attenuation values corresponding to the position points. In response to a failure of the fiber optic line, determining a point in the attenuation curve at which the attenuation value increases abruptly as a failure point.
When the fault point is positioned by the OTDR technology, the position point of the fault point on the optical fiber can be determined, then fault notification is carried out, because the optical fiber line is intricate and complex, the optical fiber network branches are numerous, the optical fiber end point receives alarm information when the optical cable fails in transmission, the optical fiber to be detected is selected, the detection light is emitted through the remote OTDR, the light intensity is obtained, and the position information of the fault point is analyzed, wherein the optical fiber to be detected has more selectivity, more optical fibers need to be detected, the fault optical fiber and the corresponding position point cannot be found out accurately and timely, and the detection range is large.
Therefore, the existing optical cable detection technology has the following technical problems that optical cable detection optical paths are fixed, optical cables to be detected are numerous, so that the optical cable detection optical paths are numerous, the optical cable sections are difficult to detect in time, and the detection range is large.
Disclosure of Invention
Therefore, the invention provides multi-core optical cable fault positioning analysis equipment, which effectively solves the problems that in the prior art, optical cable detection light paths are fixed, optical cables to be detected are numerous, and the detection of numerous optical cable sections is difficult to be performed in time, and the detection range is large.
In order to solve the technical problems, the invention specifically provides the following technical scheme:
a multi-core optical cable fault location analysis device is provided with:
the system comprises a route planning module, a position coarse locking route planning module and a point location fine locking route planning module, wherein the position coarse locking route planning module is used for dividing an optical cable into a plurality of fault monitoring positions based on an optical cable line physical network and an optical cable line virtual network in a partitioning way, extracting a central monitoring path in each fault monitoring position to be used as a position coarse locking monitoring route, and the point location fine locking route planning module is used for extracting a branching monitoring path in the fault monitoring position to be used as a point location fine locking monitoring route;
the monitoring and positioning module comprises a zone location coarse locking module and a point location fine locking module, wherein the zone location coarse locking module is in communication connection with the zone location coarse locking route planning module, the zone location coarse locking module determines a fault monitoring zone location where an optical cable fault is located based on an optical cable signal receiving abnormal condition of an optical cable fault monitoring device located at the head end and the tail end of a zone location coarse locking monitoring route, the fault monitoring zone location where the optical cable fault is located is marked as a fault location and fed back to the point location fine locking module, the point location fine locking module is in communication connection with the point location fine locking route planning module, and the point location fine locking module determines a route point where the optical cable fault is located in the fault location based on the optical cable signal receiving abnormal condition of the optical cable fault monitoring device located at the head end and the tail end of the point location fine locking monitoring route;
the optical fiber generation device is arranged at the head end and the tail end of the optical cable of the zone location coarse locking monitoring route and the head end and the tail end of the optical cable of the point location fine locking monitoring route, and is used for emitting light to the zone location coarse locking monitoring route to form a detection light path for monitoring the zone location coarse locking monitoring route and emitting light to the point location fine locking monitoring route to form a detection light path for monitoring the point location fine locking monitoring route;
the optical cable fault detection device is arranged at the head end and the tail end of the optical cable of the zone bit coarse locking monitoring route and the head end and the tail end of the optical cable of the point position fine locking monitoring route, and is used for carrying out fault detection on the zone bit coarse locking monitoring route and the point position fine locking monitoring route and obtaining an abnormal condition of optical cable signal reception of the zone bit coarse locking monitoring route and the point position fine locking monitoring route;
the model fault positioning module is in communication connection with the monitoring positioning module, accumulates and stores the optical cable signals of the optical cable fault monitoring device positioned at the head end and the tail end of the zone-position coarse locking monitoring route in the fault zone and the line point positions of the optical cable faults in the fault zone, performs deep learning on the optical cable signals of the optical cable fault monitoring device positioned at the head end and the tail end of the zone-position coarse locking monitoring route in the fault zone and the line point positions of the optical cable faults in the fault zone to construct a fault positioning model, and replaces the drop point fine locking module to be directly in communication connection with the zone-position coarse locking module after the fault positioning model is formed so as to realize modeling determination of the line point positions of the optical cable faults.
Further, the location coarse locking route planning module comprises a physical network abstraction module, a virtual network abstraction module, a fusion network abstraction module and a location route planning module;
the physical network abstraction module is used for abstracting and analyzing the physical relevance among all the optical cables in the optical cable physical installation line to obtain an optical cable line physical network;
the virtual network abstraction module is used for abstracting and analyzing virtual relativity among all optical cables in the optical cable signal virtual transmission line to obtain an optical cable line virtual network;
the fusion network abstraction module is used for carrying out fusion analysis on the optical cable line physical network and the optical cable line virtual network to obtain a dual-association network, and carrying out partition division on the dual-association network to obtain a plurality of fault monitoring locations;
the location route planning module is used for extracting a central monitoring route in each fault monitoring location to serve as a location coarse locking monitoring route.
Further, the virtual network abstraction module obtains a virtual network of the optical cable line, including:
the transmission signals of the optical cables in the same time sequence section are obtained as the transmission signal sequences of the optical cables, and the similarity of the transmission signal sequences of any two optical cables is quantified, wherein,
if the similarity of the transmission signal sequences of any two optical cables is higher than or equal to a preset threshold value, setting a second network connection edge between two network nodes corresponding to any two optical cables;
if the similarity of the transmission signal sequences of any two optical cables is lower than a preset threshold value, a second network connection edge is not arranged between two network nodes corresponding to any two optical cables;
connecting the network nodes by using a second network connecting edge to obtain the optical cable line virtual network;
further, the converged network abstraction module divides a plurality of fault monitoring locations, including:
extracting the same network connection edge from the optical cable line physical network and the optical cable line virtual network as a dual network connection edge, and connecting each network node by the dual network connection edge to obtain the dual correlation network;
and performing community division on the dual network connection edges by using the module degree density D as an objective function of community division so as to divide all network nodes into a plurality of fault monitoring areas.
Further, the location route planning module extracts a centrality monitoring path, including:
carrying out centrality quantification on each network node in each fault monitoring zone, and taking the network node with the centrality higher than or equal to a preset threshold value as a centrality node;
and combining optical cables corresponding to the central nodes in each fault monitoring zone to obtain a central monitoring path in each fault monitoring zone.
Further, the point location fine locking route planning module extracts a branching monitoring path, including:
taking all network nodes except the central node as branch nodes in each fault monitoring zone, and extracting network topology formed by the branch nodes in the optical cable line physical network;
the method comprises the steps that A, path planning rules are utilized to draw paths of all branch nodes, which are not repeated, in a network topology formed by all branch nodes;
and representing the branch nodes in the branch node paths in each fault monitoring zone by using corresponding optical cables to obtain branching monitoring paths in each fault monitoring zone.
Further, the location coarse locking module determines a fault monitoring location where the optical cable fault is located based on an abnormal condition of optical cable signal reception of the optical cable fault monitoring device located at the head end and the tail end of the location coarse locking monitoring route, and the fault monitoring location comprises:
and comparing the optical cable signals of the optical cable fault monitoring devices at the coarse locking monitoring routes of the various areas with the standard signals, and marking the fault monitoring area where the coarse locking monitoring routes of the areas corresponding to the optical cable signals different from the standard signals are located as the fault monitoring area where the optical cable faults are located.
Further, the fine locking module of point location determines the circuit point location where the optical cable fault is located based on the abnormal condition of optical cable signal reception of the optical cable fault monitoring device located at the head and tail ends of the fine locking monitoring route of point location in the fault zone location, including:
and comparing the optical cable signals of the optical cable fault monitoring device at each point position fine locking monitoring route in the fault zone with the standard signals, and positioning the fault point by the optical cable fault monitoring route corresponding to the optical cable signals different from the standard signals by using an OTDR technology to obtain the line point where the optical cable fault is located.
Further, the constructing of the fault location model includes:
taking an optical cable signal of an optical cable fault monitoring device positioned at the head end and the tail end of a zone-location coarse locking monitoring route in a fault zone as an input item of a BP neural network, and taking a route point position where an optical cable fault is positioned in the fault zone as an output item of the BP neural network;
performing network training on an input item of the BP neural network and an output item of the BP neural network by using the BP neural network to obtain the fault location model;
the model expression of the fault location model is as follows:
location=BP(signal)；
in the formula, location is a line point location where an optical cable fault is located, signal is an optical cable signal of an optical cable fault monitoring device which is located at the head end and the tail end of a zone location coarse locking monitoring route in a fault zone location, and BP is a BP neural network.
Further, the circuit point location where the optical cable fault is located is directly determined by directly modeling the communication connection between the replacement point location fine locking module and the zone location coarse locking module after the fault positioning model is formed, and the circuit point location comprises:
the fault location model receives the fault location fed back by the location coarse locking module, optical cable signals of the optical cable fault monitoring device corresponding to the fault location are input into the fault location model, and the fault location model directly outputs the line point position of the optical cable fault in the fault location.
Compared with the prior art, the invention has the following beneficial effects:
the invention extracts the central monitoring path from the plurality of monitoring and positioning areas, monitors the central monitoring path to realize the rough locking of the areas of the optical cable faults, realizes the rapid reduction of the monitoring range, positions the optical cable faults, has high efficiency, does not need to detect each optical cable one by one, and has less redundant detection; the monitoring and positioning area where the optical cable fault is located is subjected to branching monitoring path extraction, and the branching monitoring path is monitored to realize the point position fine locking of the optical cable fault, so that the optical cable fault is finely positioned, the accuracy is high, and the omission of detection is avoided; when the accumulation amount of fault data is enough, a fault positioning model can be constructed by deep learning of the fault data and fault points in the centrality monitoring path, the fault point information is directly obtained only through the monitored fault data in the centrality monitoring path, the process of fine locking the points is directly omitted, and the method is more concise.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those of ordinary skill in the art that the drawings in the following description are exemplary only and that other implementations can be obtained from the extensions of the drawings provided without inventive effort.
Fig. 1 is a block diagram of a multi-core optical cable fault location analysis device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
When the existing complex optical fiber line is directly subjected to fault point positioning through an OTDR technology, as the optical fiber line is intricate and complex, optical fiber network branches are numerous, an optical fiber endpoint receives alarm information when an optical cable fails in transmission, an optical fiber to be detected is selected, a detection light path is transmitted through a remote OTDR, light intensity is obtained, and the position information of the fault point is analyzed, wherein the optical fiber to be detected has more selectivity, more optical fibers need to be detected, the fault optical fiber and the corresponding position point cannot be accurately and timely found, and the detection range is large. Therefore, the invention provides multi-core optical cable fault positioning analysis equipment, which is used for carrying out regional monitoring on an optical fiber network, rapidly reducing the monitoring range, positioning optical cable faults, and has the advantages of high efficiency, strong fault positioning timeliness, no need of detecting each optical cable one by one, less redundant detection, carrying out point location fine locking of optical fiber lines in a fault area, realizing fine positioning of optical cable faults, strong accuracy and avoiding missing detection.
As shown in fig. 1, the present invention provides a multi-core optical cable fault location analysis device, comprising: the system comprises a route planning module, a monitoring and positioning module, a light generating device, an optical cable fault detecting device and a model fault positioning module, wherein,
the system comprises a route planning module, a position coarse locking route planning module and a point location fine locking route planning module, wherein the position coarse locking route planning module is used for dividing an optical cable into a plurality of fault monitoring positions based on an optical cable line physical network and an optical cable line virtual network in a partitioning way, extracting a central monitoring path in each fault monitoring position to be used as a position coarse locking monitoring route, and the point location fine locking route planning module is used for extracting a branching monitoring path in the fault monitoring position to be used as a point location fine locking monitoring route;
the monitoring and positioning module comprises a zone location coarse locking module and a point location fine locking module, the zone location coarse locking module is in communication connection with the zone location coarse locking route planning module, the zone location coarse locking module determines a fault monitoring zone location where an optical cable fault is located based on an optical cable signal receiving abnormal condition of an optical cable fault monitoring device located at the head end and the tail end of a zone location coarse locking monitoring route, the fault monitoring zone location where the optical cable fault is located is marked as a fault location and fed back to the point location fine locking module, the point location fine locking module is in communication connection with the point location fine locking route planning module, and the point location fine locking module determines a route point where the optical cable fault is located in the fault location based on the optical cable signal receiving abnormal condition of the optical cable fault monitoring device located at the head end and the tail end of the point location fine locking monitoring route;
the optical fiber generation device is arranged at the head end and the tail end of the optical cable of the zone location coarse locking monitoring route and the head end and the tail end of the optical cable of the point location fine locking monitoring route, and is used for emitting light to the zone location coarse locking monitoring route to form a detection light path for monitoring the zone location coarse locking monitoring route and emitting light to the point location fine locking monitoring route to form a detection light path for monitoring the point location fine locking monitoring route;
the optical cable fault detection device is arranged at the head end and the tail end of the optical cable of the zone bit coarse locking monitoring route and the head end and the tail end of the optical cable of the point location fine locking monitoring route, and is used for carrying out fault detection on the zone bit coarse locking monitoring route and the point location fine locking monitoring route and obtaining the abnormal condition of optical cable signal reception of the zone bit coarse locking monitoring route and the point location fine locking monitoring route;
the model fault positioning module is in communication connection with the monitoring positioning module, accumulates and stores the optical cable signals of the optical cable fault monitoring device positioned at the head end and the tail end of the zone-position coarse locking monitoring route in the fault zone and the line point positions of the optical cable faults in the fault zone, performs deep learning on the optical cable signals of the optical cable fault monitoring device positioned at the head end and the tail end of the zone-position coarse locking monitoring route in the fault zone and the line point positions of the optical cable faults in the fault zone to construct a fault positioning model, and replaces the drop point fine locking module to be directly in communication connection with the zone-position coarse locking module after the fault positioning model is formed so as to realize modeling determination of the line point positions of the optical cable faults.
Although the optical cable network is intricate and complex and has numerous branches, physical association exists among all optical cables in the optical cable network due to the space connection relationship, besides the physical association necessarily formed due to the space connection relationship, mutual influence characteristics caused by non-space connection exist among all optical cables in the signal transmission process, for example, no space connection exists between the optical cable A and the optical cable B, the signal change similarity between the optical cable A and the optical cable B is consistent, namely, the optical cable A breaks down, transmission signals of the optical cable A and the optical cable B show similar fluctuation, virtual data association exists between the optical cable A and the optical cable B, and therefore, the virtual association of signal data exists although the optical cable does not have space connection. The invention abstracts physical association generated by space connection between optical cables in an optical cable network and virtual association generated by signal images between the optical cables into visualization by utilizing a complex network technology, fuses the two associations to obtain a dual-association network, displays topological structures representing association relations between the optical cables from two layers of space physical and data virtual, and partitions the topological structures by utilizing a community analysis method in the complex network technology, thereby classifying the optical cables with the same attribute of the two layers of space physical and data virtual into the same location for unified fault monitoring and rapidly compressing a fault monitoring range.
The location coarse locking route planning module comprises a physical network abstraction module, a virtual network abstraction module, a fusion network abstraction module and a location route planning module;
the physical network abstraction module is used for abstracting and analyzing the physical relevance among the optical cables in the optical cable physical installation line to obtain an optical cable line physical network;
the virtual network abstraction module is used for abstracting and analyzing the virtual relevance among all optical cables in the optical cable signal virtual transmission line to obtain an optical cable line virtual network;
the fusion network abstraction module is used for carrying out fusion analysis on the optical cable line physical network and the optical cable line virtual network to obtain a double-correlation network, and carrying out partition division on the double-correlation network to obtain a plurality of fault monitoring areas;
the zone bit route planning module is used for extracting a central monitoring path in each fault monitoring zone bit to serve as a zone bit coarse locking monitoring route.
The virtual network abstraction module obtains a virtual network of the optical cable line, comprising:
the transmission signals of the optical cables in the same time sequence section are obtained as the transmission signal sequences of the optical cables, and the similarity of the transmission signal sequences of any two optical cables is quantified, wherein,
if the similarity of the transmission signal sequences of any two optical cables is higher than or equal to a preset threshold value, setting a second network connection edge between two network nodes corresponding to any two optical cables;
if the similarity of the transmission signal sequences of any two optical cables is lower than a preset threshold value, a second network connection edge is not arranged between two network nodes corresponding to any two optical cables;
connecting the network nodes by using a second network connecting edge to obtain an optical cable line virtual network;
the converged network abstraction module divides a plurality of fault monitoring locations, including:
extracting the same network connection edge from the optical cable line physical network and the optical cable line virtual network as a dual network connection edge, and connecting the dual network connection edge to each network node to obtain a dual correlation network;
and performing community division on the dual network connection edges by using the module degree density D as an objective function of community division so as to divide all network nodes into a plurality of fault monitoring areas.
The central monitoring path is extracted from the plurality of monitoring and positioning areas, the central monitoring path is monitored to realize the rough locking of the areas of the optical cable faults, the monitoring range can be rapidly reduced, the optical cable faults are positioned, the efficiency is high, the optical cables are not required to be detected one by one, and the redundant detection is less.
The location route planning module extracts a centrality monitoring path, comprising:
carrying out centrality quantification on each network node in each fault monitoring zone, and taking the network node with the centrality higher than or equal to a preset threshold value as a centrality node;
and combining optical cables corresponding to the central nodes in each fault monitoring zone to obtain a central monitoring path in each fault monitoring zone.
The invention extracts the central monitoring path, so that only one monitoring optical path is reserved in one fault monitoring zone for fault monitoring, the fault can be rapidly locked in the fault monitoring zone in a small range, the fault positioning area is rapidly compressed, the central monitoring path is composed of central nodes in the fault monitoring zone, the fault condition of optical cables corresponding to other network nodes can be displayed on space connection and data virtual layers, namely, the signal fluctuation condition consistent with the optical cables corresponding to the network nodes connected with the central nodes can be conducted on the space connection layer, and the signal fluctuation condition similar to the optical cables corresponding to the network nodes connected with the central nodes can be displayed on the data virtual layer, so that the fault monitoring of the whole fault monitoring zone can be completed by utilizing the central monitoring path, the sensitivity is high, and the monitoring range is small.
The central monitoring path can only locate the fault to the fault monitoring position, and the position of the optical cable where the fault occurs is difficult to accurately locate, so that the branch monitoring path is extracted, and the fault location is carried out on the branch monitoring path after the fault position is obtained so as to accurately obtain the fault point, and the method has the characteristics of accurately locating the optical cable fault, having high accuracy and avoiding missing detection.
The point location fine locking route planning module extracts branching monitoring paths, comprising:
taking all network nodes except the central node as branch nodes in each fault monitoring zone, and extracting network topology formed by the branch nodes in the optical cable line physical network;
the method comprises the steps that A, path planning rules are utilized to draw paths of all branch nodes, which are not repeated, in a network topology formed by all branch nodes;
and representing the branch nodes in the branch node paths in each fault monitoring zone by using corresponding optical cables to obtain branching monitoring paths in each fault monitoring zone.
The location coarse locking module determines a fault monitoring location where an optical cable fault is located based on an optical cable signal receiving abnormal condition of an optical cable fault monitoring device located at the head end and the tail end of a location coarse locking monitoring route, and comprises:
and comparing the optical cable signals of the optical cable fault monitoring devices at the coarse locking monitoring routes of the various areas with the standard signals, and marking the fault monitoring area where the coarse locking monitoring routes of the areas corresponding to the optical cable signals different from the standard signals are located as the fault monitoring area where the optical cable faults are located.
The point location fine locking module determines a line point location where an optical cable fault is located based on an abnormal condition of optical cable signal reception of an optical cable fault monitoring device positioned at the head end and the tail end of a point location fine locking monitoring line in a fault zone location, and comprises:
and comparing the optical cable signals of the optical cable fault monitoring device at each point position fine locking monitoring route in the fault zone with the standard signals, and positioning the fault point by the optical cable fault monitoring route corresponding to the optical cable signals different from the standard signals by using an OTDR technology to obtain the line point where the optical cable fault is located.
The process of the point location fine locking still needs to detect all the point location fine locking monitoring routes one by one in the fault location, and still needs to perform fault location in a certain range, so that when the accumulation amount of fault data is enough, the fault location model is constructed by performing deep learning on the fault data and the fault points in the central monitoring path, and fault point location information is directly obtained only through the monitored fault data in the central monitoring path, so that the process of the point location fine locking is directly omitted, and the method is more concise.
The construction of the fault location model comprises the following steps:
taking an optical cable signal of an optical cable fault monitoring device positioned at the head end and the tail end of a zone-location coarse locking monitoring route in a fault zone as an input item of a BP neural network, and taking a route point position where an optical cable fault is positioned in the fault zone as an output item of the BP neural network;
performing network training on an input item of the BP neural network and an output item of the BP neural network by using the BP neural network to obtain a fault positioning model;
the model expression of the fault location model is:
location=BP(signal)；
in the formula, location is a line point location where an optical cable fault is located, signal is an optical cable signal of an optical cable fault monitoring device which is located at the head end and the tail end of a zone location coarse locking monitoring route in a fault zone location, and BP is a BP neural network.
After the fault positioning model is formed, the replacement point position fine locking module is in communication connection with the zone position coarse locking module to directly model and determine the line point position of the optical cable fault, and the method comprises the following steps:
the fault location model receives the fault location fed back by the location coarse locking module, optical cable signals of the optical cable fault monitoring device corresponding to the fault location are input into the fault location model, and the fault location model directly outputs the line point position of the optical cable fault in the fault location.
The invention extracts the central monitoring path from the plurality of monitoring and positioning areas, monitors the central monitoring path to realize the rough locking of the areas of the optical cable faults, realizes the rapid reduction of the monitoring range, positions the optical cable faults, has high efficiency, does not need to detect each optical cable one by one, and has less redundant detection; the monitoring and positioning area where the optical cable fault is located is subjected to branching monitoring path extraction, and the branching monitoring path is monitored to realize the point position fine locking of the optical cable fault, so that the optical cable fault is finely positioned, the accuracy is high, and the omission of detection is avoided; when the accumulation amount of fault data is enough, a fault positioning model can be constructed by deep learning of the fault data and fault points in the centrality monitoring path, the fault point information is directly obtained only through the monitored fault data in the centrality monitoring path, the process of fine locking the points is directly omitted, and the method is more concise.
The above embodiments are only exemplary embodiments of the present application and are not intended to limit the present application, the scope of which is defined by the claims. Various modifications and equivalent arrangements may be made to the present application by those skilled in the art, which modifications and equivalents are also considered to be within the scope of the present application.
Claims (10)
1. A multi-core optical cable fault location analysis device is characterized by comprising:
the system comprises a route planning module, a position coarse locking route planning module and a point location fine locking route planning module, wherein the position coarse locking route planning module is used for dividing an optical cable into a plurality of fault monitoring positions based on an optical cable line physical network and an optical cable line virtual network in a partitioning way, extracting a central monitoring path in each fault monitoring position to be used as a position coarse locking monitoring route, and the point location fine locking route planning module is used for extracting a branching monitoring path in the fault monitoring position to be used as a point location fine locking monitoring route;
the monitoring and positioning module comprises a zone location coarse locking module and a point location fine locking module, wherein the zone location coarse locking module is in communication connection with the zone location coarse locking route planning module, the zone location coarse locking module determines a fault monitoring zone location where an optical cable fault is located based on an optical cable signal receiving abnormal condition of an optical cable fault monitoring device located at the head end and the tail end of a zone location coarse locking monitoring route, the fault monitoring zone location where the optical cable fault is located is marked as a fault location and fed back to the point location fine locking module, the point location fine locking module is in communication connection with the point location fine locking route planning module, and the point location fine locking module determines a route point where the optical cable fault is located in the fault location based on the optical cable signal receiving abnormal condition of the optical cable fault monitoring device located at the head end and the tail end of the point location fine locking monitoring route;
the optical fiber generation device is arranged at the head end and the tail end of the optical cable of the zone location coarse locking monitoring route and the head end and the tail end of the optical cable of the point location fine locking monitoring route, and is used for emitting light to the zone location coarse locking monitoring route to form a detection light path for monitoring the zone location coarse locking monitoring route and emitting light to the point location fine locking monitoring route to form a detection light path for monitoring the point location fine locking monitoring route;
the optical cable fault detection device is arranged at the head end and the tail end of the optical cable of the zone bit coarse locking monitoring route and the head end and the tail end of the optical cable of the point position fine locking monitoring route, and is used for carrying out fault detection on the zone bit coarse locking monitoring route and the point position fine locking monitoring route and obtaining an abnormal condition of optical cable signal reception of the zone bit coarse locking monitoring route and the point position fine locking monitoring route;
the model fault positioning module is in communication connection with the monitoring positioning module, accumulates and stores the optical cable signals of the optical cable fault monitoring device positioned at the head end and the tail end of the zone-position coarse locking monitoring route in the fault zone and the line point positions of the optical cable faults in the fault zone, performs deep learning on the optical cable signals of the optical cable fault monitoring device positioned at the head end and the tail end of the zone-position coarse locking monitoring route in the fault zone and the line point positions of the optical cable faults in the fault zone to construct a fault positioning model, and replaces the drop point fine locking module to be directly in communication connection with the zone-position coarse locking module after the fault positioning model is formed so as to realize modeling determination of the line point positions of the optical cable faults.
2. The multi-core optical cable fault location analysis device of claim 1, wherein the location coarse locking route planning module comprises a physical network abstraction module, a virtual network abstraction module, a converged network abstraction module, and a location route planning module;
the physical network abstraction module is used for abstracting and analyzing the physical relevance among all the optical cables in the optical cable physical installation line to obtain an optical cable line physical network;
the virtual network abstraction module is used for abstracting and analyzing virtual relativity among all optical cables in the optical cable signal virtual transmission line to obtain an optical cable line virtual network;
the fusion network abstraction module is used for carrying out fusion analysis on the optical cable line physical network and the optical cable line virtual network to obtain a dual-association network, and carrying out partition division on the dual-association network to obtain a plurality of fault monitoring locations;
the location route planning module is used for extracting a central monitoring route in each fault monitoring location to serve as a location coarse locking monitoring route.
3. A multi-core optical cable fault location analysis device according to claim 2, wherein,
the virtual network abstraction module obtains an optical cable line virtual network, which comprises:
the transmission signals of the optical cables in the same time sequence section are obtained as the transmission signal sequences of the optical cables, and the similarity of the transmission signal sequences of any two optical cables is quantified, wherein,
if the similarity of the transmission signal sequences of any two optical cables is higher than or equal to a preset threshold value, setting a second network connection edge between two network nodes corresponding to any two optical cables;
if the similarity of the transmission signal sequences of any two optical cables is lower than a preset threshold value, a second network connection edge is not arranged between two network nodes corresponding to any two optical cables;
and connecting the network nodes by using a second network connecting edge to obtain the optical cable line virtual network.
4. The multi-fiber cable fault location analysis device of claim 2, wherein the converged network abstraction module divides a plurality of fault monitoring locations, comprising:
extracting the same network connection edge from the optical cable line physical network and the optical cable line virtual network as a dual network connection edge, and connecting each network node by the dual network connection edge to obtain the dual correlation network;
and performing community division on the dual network connection edges by using the module degree density D as an objective function of community division so as to divide all network nodes into a plurality of fault monitoring areas.
5. The multi-fiber cable fault location analysis device of claim 2, wherein the location routing module extracts a centrality monitoring path comprising:
carrying out centrality quantification on each network node in each fault monitoring zone, and taking the network node with the centrality higher than or equal to a preset threshold value as a centrality node;
and combining optical cables corresponding to the central nodes in each fault monitoring zone to obtain a central monitoring path in each fault monitoring zone.
6. The multi-fiber cable fault location analysis device of claim 1, wherein the point location fine locking route planning module extracts branching monitoring paths comprising:
taking all network nodes except the central node as branch nodes in each fault monitoring zone, and extracting network topology formed by the branch nodes in the optical cable line physical network;
the method comprises the steps that A, path planning rules are utilized to draw paths of all branch nodes, which are not repeated, in a network topology formed by all branch nodes;
and representing the branch nodes in the branch node paths in each fault monitoring zone by using corresponding optical cables to obtain branching monitoring paths in each fault monitoring zone.
7. The multi-core optical cable fault location analysis device of claim 1, wherein,
the location coarse locking module determines a fault monitoring location where an optical cable fault is located based on an optical cable signal receiving abnormal condition of an optical cable fault monitoring device located at the head end and the tail end of a location coarse locking monitoring route, and comprises:
and comparing the optical cable signals of the optical cable fault monitoring devices at the coarse locking monitoring routes of the various areas with the standard signals, and marking the fault monitoring area where the coarse locking monitoring routes of the areas corresponding to the optical cable signals different from the standard signals are located as the fault monitoring area where the optical cable faults are located.
8. The multi-core optical cable fault location analysis device of claim 1, wherein,
the fine locking module of the point location is based on the optical cable signal receiving abnormal condition of the optical cable fault monitoring device located at the head end and the tail end of the fine locking monitoring route of the point location in the fault zone location, determines the route point location where the optical cable fault is located, and comprises:
and comparing the optical cable signals of the optical cable fault monitoring device at each point position fine locking monitoring route in the fault zone with the standard signals, and positioning the fault point by the optical cable fault monitoring route corresponding to the optical cable signals different from the standard signals by using an OTDR technology to obtain the line point where the optical cable fault is located.
9. The multi-core optical cable fault location analysis device according to claim 1, wherein the constructing of the fault location model includes:
taking an optical cable signal of an optical cable fault monitoring device positioned at the head end and the tail end of a zone-location coarse locking monitoring route in a fault zone as an input item of a BP neural network, and taking a route point position where an optical cable fault is positioned in the fault zone as an output item of the BP neural network;
performing network training on an input item of the BP neural network and an output item of the BP neural network by using the BP neural network to obtain the fault location model;
the model expression of the fault location model is as follows:
location=BP(signal)；
in the formula, location is a line point location where an optical cable fault is located, signal is an optical cable signal of an optical cable fault monitoring device which is located at the head end and the tail end of a zone location coarse locking monitoring route in a fault zone location, and BP is a BP neural network.
10. The multi-core optical cable fault location analysis device according to claim 1, wherein the direct modeling of the communication connection between the replacement point location fine locking module and the location coarse locking module after the fault location model is formed to determine the line point location where the optical cable fault is located comprises:
the fault location model receives the fault location fed back by the location coarse locking module, optical cable signals of the optical cable fault monitoring device corresponding to the fault location are input into the fault location model, and the fault location model directly outputs the line point position of the optical cable fault in the fault location.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116827764A (en) * | 2023-08-23 | 2023-09-29 | 山西绿柳科技有限公司 | Internet of things fault detection control method and system based on neural network |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101566586A (en) * | 2008-04-22 | 2009-10-28 | 宁波诺可电子科技发展有限公司 | External safety early-warning and positioning system of optical cable and optical-electrical compound cable |
| CN103427898A (en) * | 2012-05-25 | 2013-12-04 | 中兴通讯股份有限公司 | Method and system for determining branch fault point of passive optical network |
| CN103454559A (en) * | 2013-09-02 | 2013-12-18 | 国家电网公司 | Power distribution network single-phase earth fault zone positioning method and positioning device |
| EP2818843A1 (en) * | 2013-06-25 | 2014-12-31 | British Telecommunications public limited company | Optical network fault identification |
| CN110674189A (en) * | 2019-09-27 | 2020-01-10 | 国网四川省电力公司电力科学研究院 | Method for monitoring secondary state and positioning fault of intelligent substation |
| CN111510205A (en) * | 2020-04-21 | 2020-08-07 | 北京邮电大学 | Optical cable fault positioning method, device and equipment based on deep learning |
| CN112815969A (en) * | 2020-12-31 | 2021-05-18 | 西安众恒科技有限公司 | Internet of things optical fiber analyzer device based on edge calculation |
| CN113300765A (en) * | 2021-05-25 | 2021-08-24 | 国网湖北省电力有限公司荆门供电公司 | Intelligent identification and diagnosis method for power digital link |
| US20210263253A1 (en) * | 2018-11-09 | 2021-08-26 | Corning Research & Development Corporation | Fiber optic networks and terminals having wireless connectivity |
| CN114142923A (en) * | 2020-09-03 | 2022-03-04 | 中国移动通信集团安徽有限公司 | Optical cable fault positioning method, device, equipment and readable medium |
| CN115499055A (en) * | 2022-06-28 | 2022-12-20 | 贵州电网有限责任公司 | Method for intelligently identifying and managing optical link by monitoring master station |
-
2023
- 2023-06-06 CN CN202310659346.1A patent/CN116405110B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101566586A (en) * | 2008-04-22 | 2009-10-28 | 宁波诺可电子科技发展有限公司 | External safety early-warning and positioning system of optical cable and optical-electrical compound cable |
| CN103427898A (en) * | 2012-05-25 | 2013-12-04 | 中兴通讯股份有限公司 | Method and system for determining branch fault point of passive optical network |
| EP2818843A1 (en) * | 2013-06-25 | 2014-12-31 | British Telecommunications public limited company | Optical network fault identification |
| CN103454559A (en) * | 2013-09-02 | 2013-12-18 | 国家电网公司 | Power distribution network single-phase earth fault zone positioning method and positioning device |
| US20210263253A1 (en) * | 2018-11-09 | 2021-08-26 | Corning Research & Development Corporation | Fiber optic networks and terminals having wireless connectivity |
| CN110674189A (en) * | 2019-09-27 | 2020-01-10 | 国网四川省电力公司电力科学研究院 | Method for monitoring secondary state and positioning fault of intelligent substation |
| CN111510205A (en) * | 2020-04-21 | 2020-08-07 | 北京邮电大学 | Optical cable fault positioning method, device and equipment based on deep learning |
| CN114142923A (en) * | 2020-09-03 | 2022-03-04 | 中国移动通信集团安徽有限公司 | Optical cable fault positioning method, device, equipment and readable medium |
| CN112815969A (en) * | 2020-12-31 | 2021-05-18 | 西安众恒科技有限公司 | Internet of things optical fiber analyzer device based on edge calculation |
| CN113300765A (en) * | 2021-05-25 | 2021-08-24 | 国网湖北省电力有限公司荆门供电公司 | Intelligent identification and diagnosis method for power digital link |
| CN115499055A (en) * | 2022-06-28 | 2022-12-20 | 贵州电网有限责任公司 | Method for intelligently identifying and managing optical link by monitoring master station |
Non-Patent Citations (1)
| Title |
|---|
| 张娜;: "基于GIS和OTDR的光纤智能监控系统研究", 计算机测量与控制, no. 02 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116827764A (en) * | 2023-08-23 | 2023-09-29 | 山西绿柳科技有限公司 | Internet of things fault detection control method and system based on neural network |
| CN116827764B (en) * | 2023-08-23 | 2023-11-03 | 山西绿柳科技有限公司 | Internet of things fault detection control method and system based on neural network |
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|---|---|
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